So today's task was based on the learnings from yesterday that is day7's task craft prompt for challenges in different levels. It was good use of knowledge gained For the beginner level task  

            Here are my notes from Pricilla's talk on Prompt Engineering for Testers. It is a beginner friendly simple and feel-good session where she discussed on Focusing on crafting efficient prompts to get better results from Generative AI and other Large

1. Zero-shot Prompting How it works: Generates outputs without specific training or examples. Useful for quick answers to general questions. Potential impact: Allows AI to respond to novel tasks without specific coding. Resource: What is Zero Shot Learning in Computer

Key Tools Testim: Known for its AI-driven self-healing tests and automatic maintenance, Testim facilitates codeless test creation for non-technical users. It supports UI, API, and performance testing, offering a robust platform for teams with mixed skill levels. Mabl: Offers AI-powered

I had considered this article for the challenge or task. Stress Testing an AI Based Web Service: A Case Study | IEEE Conference Publication | IEEE Xplore Here are my findings Stress testing for AI-based systems, such as machine learning translation systems, presents

Key Takeaways: Context in AI: Context is critical for AI tools. Without context, AI can give incorrect or unreliable results. Tools like Postbot for Postman work well because they understand the context of API testing. Security and Confidentiality: It's important

AI in Software Testing: AI is increasingly integrated into software testing to automate tasks, improve accuracy, and optimize test processes. Common applications include test automation, visual testing, defect prediction, and performance testing. Key AI Uses in Testing: Self-Healing Tests: Tools like Katalon